Titlebook: Advances in Latent Variables; Methods, Models and Maurizio Carpita,Eugenio Brentari,El Mostafa Qanna Book 2015 The Editor(s) (if applicabl

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A. Compare,L. Gondoni MD,E. Molinarie problem of multivariate ordinal data representation is still open. In this article the Plackett distribution is used in order to construct a bivariate distribution from CUB margins. Furthermore, the model is extended so that the effect of rater characteristics on their stated preferences is included.

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Chemotherapy-Induced Takotsubo Syndrome,tric and psychometric perspective in the construction of the structural model with latent variables. It involves the introduction latent variables and inclusion of measurement errors into the model. The authors used the SEM approach to estimate an econometric model with measurement errors, identities and constraints imposed on model parameters.

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Clinical Radiology of Head and Neck Tumorsnuary 1986 and 31 August 2011 are modeled. Computational complexities arising in the estimation step are dealt by simulation-based methods, introducing a Griddy Gibbs sampler. The association structure among time-series is captured via a factor model, which reduces the computational burden required in the estimation step.

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Book 2015viewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications", held at the Department of Economics and Management of the University of Brescia from June 19 to 21, 2

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Book 2015ffective modeling of complex real-life phenomena in a wide range of research fields..A major goal of the volume is to bring together articles written by statisticians from different research fields, which present different approaches and experiences related to the analysis of unobservable variables and the study of the relationships between them..

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https://doi.org/10.1007/978-88-470-5699-2. This approach is illustrated in two different contexts encountered in sensory analysis: (1) the clustering of sensory descriptors by taking into account their redundancy; and (2) the segmentation of a panel of consumers according to their liking, by taking into account external information about the products and the consumers.

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